Formation control of collaborative robots to explore and characterise underwater nuclear storage facilities. Heterogeneous multi-agent system designed to map its surroundings and gather data. The system will use the attenuation of wireless signals, caused by water, to calculate the position between the members of the flock.
Collaborative Exploration of Hazardous Environments using Autonomous Systems
Sep 2014 – Sep 2017
JOSE ESPINOSA BENG
Doctoral Research Student
His research focuses on developing a positioning system and formation control for a flock of underwater autonomous vehicles. This is being applied to explore underwater nuclear storage facilities in a more efficient and robust way. Current technology is limited to single tethered vehicles without a localisation system.
Sackville Street Building, University of Manchester, Manchester, UK
Developing the next generation of nuclear decommissioning robotics research. Working in partnership with the nuclear sector and other universities around the UK and EU to reduce risk, accelerate productivity and reduce long term costs.
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